相干干扰下混响鲁棒双传声器目标信号检测算法

Xiaofei Wang, Yanmeng Guo, Q. Fu, Yonghong Yan
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引用次数: 1

摘要

提出了一种基于双传声器的混响鲁棒目标信号检测算法。传统的TSD算法大多是基于自由声场和多声道近距离对话场景的假设。它们在混响和噪声环境中缺乏鲁棒性。提出的TSD算法基于波束参考比(BRR),并引入了一种新的估计量——直接混响比(DRR),将基本假设扩大到混响和远距离通话场景。利用传声器间的空间相关信息估计DRR,修正各时频块的阈值,并利用软判决信息形成全频带似然。实验结果表明,当目标信号为先验已知到达方向时,该方法在具有相干干扰的不同混响环境下具有较好的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reverberation robust two-microphone Target Signal Detection algorithm with coherent interference
In this paper, a reverberation robust Target Signal Detection (TSD) algorithm using two microphones is proposed. Most of traditional TSD algorithms are based on the assumption of free sound field and close-talking scene incorporate with multichannel system. They lack in achieving robustness in reverberant and noisy environment. The proposed TSD algorithm is based on Beam-to-Reference Ratio (BRR), and a novel estimator, Direct-to-Reverberate Ratio (DRR), is introduced to enlarge the basic assumption to reverberant and distant-talking scene. Spatial correlation information between microphones is used to estimate the DRR to revise threshold on each Time-Frequency (T-F) block and to form full-band likelihood using soft-decision information. Experimental results show that the proposed method performs robust in different reverberant environments with coherent interferences when target signal is from priori known direction-of-arrivals (DOA) in distant-talking scene.
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